{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "开始加载Instacart数据集...\n",
      "订单数据加载完成，形状: (1000000, 7)\n",
      "产品数据加载完成，形状: (49688, 4)\n",
      "订单产品数据加载完成，形状: (1000000, 4)\n",
      "商品分类数据加载完成，形状: (134, 2)\n",
      "合并后的数据预览：\n"
     ]
    },
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>order_id</th>\n",
       "      <th>user_id</th>\n",
       "      <th>eval_set</th>\n",
       "      <th>order_number</th>\n",
       "      <th>order_dow</th>\n",
       "      <th>order_hour_of_day</th>\n",
       "      <th>days_since_prior_order</th>\n",
       "      <th>product_id</th>\n",
       "      <th>add_to_cart_order</th>\n",
       "      <th>reordered</th>\n",
       "      <th>product_name</th>\n",
       "      <th>aisle_id</th>\n",
       "      <th>department_id</th>\n",
       "      <th>aisle</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>94891</td>\n",
       "      <td>4</td>\n",
       "      <td>prior</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>13</td>\n",
       "      <td>15.0</td>\n",
       "      <td>22199</td>\n",
       "      <td>1</td>\n",
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       "      <td>Extra-Dry Cava</td>\n",
       "      <td>134</td>\n",
       "      <td>5</td>\n",
       "      <td>specialty wines champagnes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>94891</td>\n",
       "      <td>4</td>\n",
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       "      <td>25146</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>Original Orange Juice</td>\n",
       "      <td>31</td>\n",
       "      <td>7</td>\n",
       "      <td>refrigerated</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>23391</td>\n",
       "      <td>7</td>\n",
       "      <td>prior</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>28.0</td>\n",
       "      <td>13198</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>85% Lean Ground Beef</td>\n",
       "      <td>122</td>\n",
       "      <td>12</td>\n",
       "      <td>meat counter</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23391</td>\n",
       "      <td>7</td>\n",
       "      <td>prior</td>\n",
       "      <td>17</td>\n",
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       "      <td>28.0</td>\n",
       "      <td>42803</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>Organic Apple Slices</td>\n",
       "      <td>50</td>\n",
       "      <td>19</td>\n",
       "      <td>fruit vegetable snacks</td>\n",
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       "      <td>23391</td>\n",
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       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>28.0</td>\n",
       "      <td>8277</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>Apple Honeycrisp Organic</td>\n",
       "      <td>24</td>\n",
       "      <td>4</td>\n",
       "      <td>fresh fruits</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "   order_id  user_id eval_set  order_number  order_dow  order_hour_of_day  \\\n",
       "0     94891        4    prior             4          5                 13   \n",
       "1     94891        4    prior             4          5                 13   \n",
       "2     23391        7    prior            17          0                 10   \n",
       "3     23391        7    prior            17          0                 10   \n",
       "4     23391        7    prior            17          0                 10   \n",
       "\n",
       "   days_since_prior_order  product_id  add_to_cart_order  reordered  \\\n",
       "0                    15.0       22199                  1          0   \n",
       "1                    15.0       25146                  2          0   \n",
       "2                    28.0       13198                  1          1   \n",
       "3                    28.0       42803                  2          1   \n",
       "4                    28.0        8277                  3          1   \n",
       "\n",
       "               product_name  aisle_id  department_id  \\\n",
       "0            Extra-Dry Cava       134              5   \n",
       "1     Original Orange Juice        31              7   \n",
       "2      85% Lean Ground Beef       122             12   \n",
       "3      Organic Apple Slices        50             19   \n",
       "4  Apple Honeycrisp Organic        24              4   \n",
       "\n",
       "                        aisle  \n",
       "0  specialty wines champagnes  \n",
       "1                refrigerated  \n",
       "2                meat counter  \n",
       "3      fruit vegetable snacks  \n",
       "4                fresh fruits  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "\n",
    "# 加载Instacart数据集\n",
    "print(\"开始加载Instacart数据集...\")\n",
    "\n",
    "# 加载订单数据\n",
    "orders = pd.read_csv('instacart/orders.csv', nrows=1000000)\n",
    "print(\"订单数据加载完成，形状:\", orders.shape)\n",
    "\n",
    "# 加载产品数据\n",
    "products = pd.read_csv('instacart/products.csv', nrows=1000000)\n",
    "print(\"产品数据加载完成，形状:\", products.shape)\n",
    "\n",
    "# 加载订单产品数据\n",
    "order_products = pd.read_csv('instacart/order_products__prior.csv', nrows=1000000)\n",
    "print(\"订单产品数据加载完成，形状:\", order_products.shape)\n",
    "\n",
    "# 加载商品分类数据\n",
    "aisles = pd.read_csv('instacart/aisles.csv', nrows=1000000)\n",
    "print(\"商品分类数据加载完成，形状:\", aisles.shape)\n",
    "\n",
    "# 数据合并\n",
    "# 先合并订单和订单产品\n",
    "df = pd.merge(orders, order_products, on='order_id', how='inner')\n",
    "\n",
    "# 再合并产品信息\n",
    "df = pd.merge(df, products, on='product_id', how='inner')\n",
    "\n",
    "# 最后合并货架信息\n",
    "df = pd.merge(df, aisles, on='aisle_id', how='inner')\n",
    "\n",
    "# 显示合并后的数据前几行\n",
    "print(\"合并后的数据预览：\")\n",
    "df.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 290884 entries, 0 to 290883\n",
      "Data columns (total 14 columns):\n",
      " #   Column                  Non-Null Count   Dtype  \n",
      "---  ------                  --------------   -----  \n",
      " 0   order_id                290884 non-null  int64  \n",
      " 1   user_id                 290884 non-null  int64  \n",
      " 2   eval_set                290884 non-null  object \n",
      " 3   order_number            290884 non-null  int64  \n",
      " 4   order_dow               290884 non-null  int64  \n",
      " 5   order_hour_of_day       290884 non-null  int64  \n",
      " 6   days_since_prior_order  272118 non-null  float64\n",
      " 7   product_id              290884 non-null  int64  \n",
      " 8   add_to_cart_order       290884 non-null  int64  \n",
      " 9   reordered               290884 non-null  int64  \n",
      " 10  product_name            290884 non-null  object \n",
      " 11  aisle_id                290884 non-null  int64  \n",
      " 12  department_id           290884 non-null  int64  \n",
      " 13  aisle                   290884 non-null  object \n",
      "dtypes: float64(1), int64(10), object(3)\n",
      "memory usage: 31.1+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "数据缺失率统计：\n",
      "order_id                  0.000000\n",
      "user_id                   0.000000\n",
      "eval_set                  0.000000\n",
      "order_number              0.000000\n",
      "order_dow                 0.000000\n",
      "order_hour_of_day         0.000000\n",
      "days_since_prior_order    0.064514\n",
      "product_id                0.000000\n",
      "add_to_cart_order         0.000000\n",
      "reordered                 0.000000\n",
      "product_name              0.000000\n",
      "aisle_id                  0.000000\n",
      "department_id             0.000000\n",
      "aisle                     0.000000\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "# 计算数据缺失率\n",
    "print(\"数据缺失率统计：\")\n",
    "missing_rate = df.isnull().sum() / len(df)\n",
    "print(missing_rate)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "创建用户和货架的交叉表...\n",
      "   user_id                       aisle  purchase_count\n",
      "0        4                refrigerated               1\n",
      "1        4  specialty wines champagnes               1\n",
      "2        7                      coffee               2\n",
      "3        7                        eggs               1\n",
      "4        7                fresh fruits               2\n",
      "   user_id                       aisle  purchase_count\n",
      "0        4                refrigerated               1\n",
      "1        4  specialty wines champagnes               1\n",
      "2        7                      coffee               2\n",
      "3        7                        eggs               1\n",
      "4        7                fresh fruits               2\n",
      "交叉表形状: (19477, 134)\n",
      "交叉表预览:\n"
     ]
    },
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      "text/plain": [
       "aisle    air fresheners candles  asian foods  baby accessories  \\\n",
       "user_id                                                          \n",
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       "7                           0.0          0.0               0.0   \n",
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       "19                          0.0          1.0               0.0   \n",
       "\n",
       "aisle    baby bath body care  baby food formula  bakery desserts  \\\n",
       "user_id                                                            \n",
       "4                        0.0                0.0              0.0   \n",
       "7                        0.0                0.0              0.0   \n",
       "10                       0.0                0.0              0.0   \n",
       "13                       0.0                0.0              0.0   \n",
       "19                       0.0                0.0              0.0   \n",
       "\n",
       "aisle    baking ingredients  baking supplies decor  beauty  beers coolers  \\\n",
       "user_id                                                                     \n",
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       "7                       0.0                    0.0     0.0            0.0   \n",
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       "13                      1.0                    0.0     0.0            0.0   \n",
       "19                      1.0                    0.0     0.0            0.0   \n",
       "\n",
       "aisle    ...  spreads  tea  tofu meat alternatives  tortillas flat bread  \\\n",
       "user_id  ...                                                               \n",
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       "13       ...      0.0  0.0                     0.0                   1.0   \n",
       "19       ...      0.0  0.0                     0.0                   0.0   \n",
       "\n",
       "aisle    trail mix snack mix  trash bags liners  vitamins supplements  \\\n",
       "user_id                                                                 \n",
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       "\n",
       "aisle    water seltzer sparkling water  white wines  yogurt  \n",
       "user_id                                                      \n",
       "4                                  0.0          0.0     0.0  \n",
       "7                                  0.0          0.0     0.0  \n",
       "10                                 0.0          0.0     1.0  \n",
       "13                                 0.0          0.0     0.0  \n",
       "19                                 0.0          0.0     0.0  \n",
       "\n",
       "[5 rows x 134 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 创建用户和货架的交叉表\n",
    "print(\"创建用户和货架的交叉表...\")\n",
    "\n",
    "# 计算每个用户对每个货架的购买次数\n",
    "# 这行代码创建了一个用户-货架购买统计表：\n",
    "# 1. df.groupby(['user_id', 'aisle']) - 按用户ID和货架类别进行分组\n",
    "# 2. .size() - 计算每个分组中的行数，即每个用户在每个货架类别购买的次数\n",
    "# 3. .reset_index() - 将分组索引转换为列\n",
    "# 4. name='purchase_count' - 给计数列命名为'purchase_count'\n",
    "# 结果是一个DataFrame，包含三列：user_id、aisle和purchase_count\n",
    "# 每行表示一个特定用户在特定货架类别的购买总次数\n",
    "user_aisle_counts = df.groupby(['user_id', 'aisle']).size().reset_index(name='purchase_count')\n",
    "print(user_aisle_counts.head())\n",
    "\n",
    "# 将数据透视为交叉表格式，行为用户，列为货架，值为购买次数\n",
    "# 将数据透视为交叉表格式:\n",
    "# - index='user_id': 将user_id设为行索引，每行代表一个用户\n",
    "# - columns='aisle': 将aisle(货架类别)设为列名，每列代表一个货架类别\n",
    "# - values='purchase_count': 填充的值为purchase_count(购买次数)\n",
    "# 这样生成的矩阵中，每个单元格表示特定用户在特定货架类别购买的次数\n",
    "user_aisle_matrix = user_aisle_counts.pivot(index='user_id', columns='aisle', values='purchase_count')\n",
    "\n",
    "print(user_aisle_counts.head())\n",
    "\n",
    "# 填充缺失值为0（表示该用户从未在该货架购买过商品）\n",
    "user_aisle_matrix = user_aisle_matrix.fillna(0)\n",
    "\n",
    "# 显示交叉表的形状和前几行\n",
    "print(f\"交叉表形状: {user_aisle_matrix.shape}\")\n",
    "print(\"交叉表预览:\")\n",
    "user_aisle_matrix.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "对用户-货架交叉表进行PCA降维...\n",
      "降维后的数据形状: (19477, 48)\n",
      "降维后的方差比例: 0.9020674994153115\n",
      "保留的特征数量: 48\n"
     ]
    }
   ],
   "source": [
    "# 使用PCA对用户-货架交叉表进行降维\n",
    "from sklearn.decomposition import PCA\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "print(\"对用户-货架交叉表进行PCA降维...\")\n",
    "\n",
    "# 创建PCA模型并拟合数据\n",
    "# 先尝试降到0.9维，方便可视化\n",
    "pca = PCA(n_components=0.9)\n",
    "user_aisle_pca = pca.fit_transform(user_aisle_matrix)\n",
    "# 降维后的数据形状\n",
    "print(f'降维后的数据形状: {user_aisle_pca.shape}')\n",
    "# 降维后的方差比例\n",
    "print(f'降维后的方差比例: {pca.explained_variance_ratio_.sum()}')\n",
    "# 保留的特征数量\n",
    "print(f'保留的特征数量: {pca.n_components_}')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "使用K-means聚类将用户分为3类...\n",
      "聚类 0: 5290 个用户\n",
      "聚类 1: 13169 个用户\n",
      "聚类 2: 1018 个用户\n",
      "轮廓系数: 0.2539\n"
     ]
    }
   ],
   "source": [
    "# 使用K-means聚类将用户分为3类\n",
    "from sklearn.cluster import KMeans\n",
    "\n",
    "print(\"使用K-means聚类将用户分为3类...\")\n",
    "\n",
    "# 创建KMeans模型，设置聚类数为3\n",
    "kmeans = KMeans(n_clusters=3, random_state=42)\n",
    "\n",
    "# 使用PCA降维后的数据进行聚类\n",
    "# 使用fit方法对数据进行聚类，返回训练好的KMeans模型\n",
    "# 这一步会计算聚类中心并为每个样本分配聚类标签\n",
    "user_clusters = kmeans.fit_predict(user_aisle_pca)\n",
    "# 注意：上面的代码有问题，kmeans.fit()返回的是模型本身，不是聚类标签\n",
    "# kmeans.fit_predict()才会返回聚类标签\n",
    "# 因此我们不需要单独调用predict，可以直接使用fit_predict\n",
    "# pred_clusters = kmeans.predict(user_aisle_pca) # 这行是多余的\n",
    "\n",
    "# 查看每个聚类的用户数量\n",
    "# np.unique函数用于获取数组中的唯一值\n",
    "# 当设置return_counts=True时，它还会返回每个唯一值在原数组中出现的次数\n",
    "# unique_clusters: 包含所有不同聚类标签的数组（这里应该是0,1,2）\n",
    "# cluster_counts: 对应每个聚类标签的用户数量\n",
    "unique_clusters, cluster_counts = np.unique(user_clusters, return_counts=True)\n",
    "for cluster, count in zip(unique_clusters, cluster_counts):\n",
    "    print(f\"聚类 {cluster}: {count} 个用户\")\n",
    "\n",
    "# 计算轮廓系数\n",
    "from sklearn.metrics import silhouette_score\n",
    "\n",
    "# 轮廓系数是一种评估聚类质量的方法\n",
    "# 它衡量一个样本与自己所在簇的相似度与其他簇的相似度之间的差异\n",
    "# 取值范围为[-1, 1]，值越大表示聚类效果越好\n",
    "# 1表示聚类紧密且分离良好，0表示簇重叠，-1表示样本可能被分配到错误的簇\n",
    "silhouette_avg = silhouette_score(user_aisle_pca, user_clusters)  # (X,labels),X是特征，labels是聚类标签\n",
    "print(f\"轮廓系数: {silhouette_avg:.4f}\")       # 计算量太大，一直计算不出来\n",
    "\n",
    "# # 可以尝试不同的聚类数，比较轮廓系数\n",
    "# silhouette_scores = []\n",
    "# k_range = range(2, 11)  # 尝试2到10个聚类\n",
    "\n",
    "# for k in k_range:\n",
    "#     kmeans_test = KMeans(n_clusters=k, random_state=42)\n",
    "#     cluster_labels = kmeans_test.fit_predict(user_aisle_pca)\n",
    "#     silhouette_avg = silhouette_score(user_aisle_pca, cluster_labels)\n",
    "#     silhouette_scores.append(silhouette_avg)\n",
    "#     print(f\"聚类数 {k} 的轮廓系数: {silhouette_avg:.4f}\")\n",
    "\n",
    "# # 绘制不同聚类数的轮廓系数\n",
    "# plt.figure(figsize=(10, 6))\n",
    "# plt.plot(k_range, silhouette_scores, 'o-', color='blue')\n",
    "# plt.grid(True, linestyle='--', alpha=0.7)\n",
    "# plt.xlabel('聚类数量')\n",
    "# plt.ylabel('轮廓系数')\n",
    "# plt.title('不同聚类数量的轮廓系数比较')\n",
    "# plt.xticks(k_range)\n",
    "# plt.show()\n",
    "\n",
    "\n",
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "# 解决中文显示问题\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  # 用来正常显示中文标签\n",
    "plt.rcParams['axes.unicode_minus'] = False    # 用来正常显示负号\n",
    "\n",
    "# 可视化聚类结果（如果PCA降维后的维度小于等于2）\n",
    "if user_aisle_pca.shape[1] >= 2:\n",
    "    plt.figure(figsize=(10, 8))\n",
    "    \n",
    "    # 绘制散点图，颜色表示聚类\n",
    "    scatter = plt.scatter(user_aisle_pca[:, 0], user_aisle_pca[:, 1], \n",
    "                         c=user_clusters, cmap='viridis', alpha=0.5)\n",
    "    \n",
    "    # 绘制聚类中心\n",
    "    centers = kmeans.cluster_centers_\n",
    "    plt.scatter(centers[:, 0], centers[:, 1], c='red', s=200, alpha=0.8, marker='X')\n",
    "    \n",
    "    plt.title('用户购物行为聚类')\n",
    "    plt.xlabel('主成分1')\n",
    "    plt.ylabel('主成分2')\n",
    "    plt.colorbar(scatter, label='聚类')\n",
    "    plt.grid(True, linestyle='--', alpha=0.7)\n",
    "    plt.show()\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
